Who calls the shots? Rethinking Few-Shot Learning for Audio

18 October 2021

Papers citing "Who calls the shots? Rethinking Few-Shot Learning for Audio"

4 / 4 papers shown

Title
Adapting Language-Audio Models as Few-Shot Audio Learners Jinhua Liang Xubo Liu Haohe Liu Huy P Phan Emmanouil Benetos Mark D. Plumbley Wenwu Wang VLM 25 19 0 28 May 2023
Urban Rhapsody: Large-scale exploration of urban soundscapes Joao Rulff Fabio Miranda Maryam Hosseini Marcos Lage M. Cartwright Graham Dove J. P. Bello Claudio T. Silva 14 7 0 25 May 2022
Attention is All You Need? Good Embeddings with Statistics are enough:Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or .... Prateek Verma AI4TS 18 2 0 07 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017